Power Electronics Implementation of Dynamic Thermal Inertia to Offset Stochastic Solar Resources in Low-Energy Buildings

Cao, Yue; Magerko, John A.; Navidi, Thomas; Krein, P.T.

doi:10.1109/jestpe.2016.2609280

Cited by 15 publications

(4 citation statements)

References 22 publications

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“…One of the main areas that is gaining attention is the so-called "thermal-inertia" of heating, ventilation, and air conditioning (HVAC) systems of commercial buildings. As discussed in [120][121][122], the power consumption of the power electronics based HVAC units can be controlled to provide inertial response while ensuring that the customer comfort is not effected. Similarly, the large HVAC installation in data centers could be another potential to tap for inertial response in the future grid with large scale integration of RES units.…”

Section: Energy Storage Resources For Virtual Inertia Systemsmentioning

confidence: 99%

Virtual Inertia: Current Trends and Future Directions

et al. 2017

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Abstract:The modern power system is progressing from a synchronous machine-based system towards an inverter-dominated system, with large-scale penetration of renewable energy sources (RESs) like wind and photovoltaics. RES units today represent a major share of the generation, and the traditional approach of integrating them as grid following units can lead to frequency instability. Many researchers have pointed towards using inverters with virtual inertia control algorithms so that they appear as synchronous generators to the grid, maintaining and enhancing system stability. This paper presents a literature review of the current state-of-the-art of virtual inertia implementation techniques, and explores potential research directions and challenges. The major virtual inertia topologies are compared and classified. Through literature review and simulations of some selected topologies it has been shown that similar inertial response can be achieved by relating the parameters of these topologies through time constants and inertia constants, although the exact frequency dynamics may vary slightly. The suitability of a topology depends on system control architecture and desired level of detail in replication of the dynamics of synchronous generators. A discussion on the challenges and research directions points out several research needs, especially for systems level integration of virtual inertia systems.

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Section: Energy Storage Resources For Virtual Inertia Systemsmentioning

confidence: 99%

Virtual Inertia: Current Trends and Future Directions

et al. 2017

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“…Few works in the literature [6][7][8][9] have investigated how frequency bandwidth concepts can take advantage of building TCLs to offset energy resource availability. These works are mainly focused on utilizing building TCLs to offset grid-side and building-side variabilities.…”

Section: Introductionmentioning

confidence: 99%

“…In [7,8], it is shown that the thermal storage capacity, or thermal inertia, inherent in building TCLs can be utilized to offset fast variations of transient frequency oscillations (swings) and local solar power, respectively, from a grid perspective with reduced need for conventional storage. In [9], a power electronic HVAC drive that acts as an effective electric swing bus is implemented to offset the variability of intermittent solar resources.…”

Section: Introductionmentioning

confidence: 99%

Frequency Analysis of Solar PV Power to Enable Optimal Building Load Control

et al. 2020

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In this paper, we present a flexibility estimation mechanism for buildings’ thermostatically controlled loads (TCLs) to enable the distribution level consumption of the majority of solar photovoltaic (PV) generation by local building TCLs. The local consumption of PV generation provides several advantages to the grid operation as well as the consumers, such as reducing the stress on the distribution network, minimizing voltage fluctuations and two-way power flows in the distribution network, and reducing the required battery storage capacity for PV integration. This would result in increasing the solar PV generation penetration levels. The aims of this study are twofold. First, spectral (frequency) analyses of solar PV power generation together with the power consumption of multiple building TCLs (such as heating, ventilation, and air conditioning (HVAC) systems, water heaters, and refrigerators) are performed. These analyses define the bandwidth over which these TCLs can operate and also describe the PV generation frequency bandwidth. Such spectral analyses, in frequency domain, can help identify the flexible components of PV generation that can be consumed by the various TCLs through optimal building load utilization. Second, a quadratic optimization problem based on model predictive control is formulated to allow consuming most of the low and medium frequency content of the PV power locally by building TCLs, while maintaining occupants’ comfort and TCLs’ physical constraints. The solution to the proposed optimization problem is achieved using optimal control strategies. Numerical results show that most of the low and medium frequency content of the PV generation can be consumed locally by building TCLs. The remaining high-frequency content of the PV generation can then be stored/offset using energy storage systems.

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“…The fan plant in Figure 3.1, is discussed in this section. Most of the prior works consider this fan plant as a first-order transfer function, e.g., in [16], [117]. However, when this fan plant is looked into details, a lot of optimization regarding the drive itself could be found out.…”

Section: Model Predictive Flux Control (Mpfc) Of Induction Machine (Imentioning

confidence: 99%

Building energy management and demand response

Zhang¹

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I would like to take this opportunity to convey my appreciation to several individuals who helped me in preparation and completion of this study. First and foremost, I would like to convey my sincere gratitude to my supervisor, Associate Professor So Ping Lam, who gave me the chance to undertake this research works. His professional attitude, guidance, encouragement, and support deserve the special acknowledgment. I am extremely lucky to have a supervisor who are always patient on helping me to revise the draft papers, and who keep encouraging me and promptly responding my questions and queries when I encountered difficulties in the study. His effort on supervising and consulting students is surprising and ever-inspiring. His timely assistance and support is invaluable to the author. Without him, the completion of this study would not be a success and smooth sail journey. I would also like to express my appreciation to my previous supervisor, Assistant Professor Abhisek Ukil, who provide the opportunity to me on pursuing MEng degree in Nanyang Technological University (NTU), Singapore. His expertise and passion on research motivate me pursing the research study. My grateful thanks are also extended to Associate Professor Gooi Hoay Beng and Associate Professor Anutosh Chakraborty for being in my thesis advisory committee (TAC) members and providing valuable advises at each stage of my research. I would also like to extend my thanks to School of Electrical and Electronic Engineering for giving me an opportunity to pursue my MEng study. I am also thankful to Ms. Chia Nge Tak Heng and Ms. Lin Zhiren for their technical assistance. Last but not least, I am also thankful to all my colleagues in the Clean Energy Research Laboratory (CERL) for creating the pleasant working environment. vii Contents Statement of Originality iii Supervisor Declaration Statement iv Authorship Attribution Statement v Authorship Attribution Statement vi Acknowledgments vii

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Power Electronics Implementation of Dynamic Thermal Inertia to Offset Stochastic Solar Resources in Low-Energy Buildings

Cited by 15 publications

References 22 publications

Virtual Inertia: Current Trends and Future Directions

Virtual Inertia: Current Trends and Future Directions

Frequency Analysis of Solar PV Power to Enable Optimal Building Load Control

Building energy management and demand response

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